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Databricks’ new data lakehouse aims at media, entertainment sector

CIO Business Intelligence

After launching industry-specific data lakehouses for the retail, financial services and healthcare sectors over the past three months, Databricks is releasing a solution targeting the media and the entertainment (M&E) sector. Features focus on media and entertainment firms.

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Data Warehouse Migration: How to Make This Strategic Move

Octopai

Migrating a data fulfillment center (i.e. warehouse). Your data warehouse is not too different from an Amazon fulfillment center. No one wants to disrupt this level of complexity in order to recreate it elsewhere. Your old data warehouse has become deprecated. Ready to take on the job?

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Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Jet Global

OLAP reporting has traditionally relied on a data warehouse. Again, this entails creating a copy of the transactional data in the ERP system, but it also involves some preprocessing of data into so-called “cubes” so that you can retrieve aggregate totals and present them much faster. Option 3: Azure Data Lakes.

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Using DataOps to Drive Agility and Business Value

DataKitchen

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. Before we jump into a methodology or even a data strategy-based approach, what are we trying to accomplish? Tyo pointed out, “Don’t do data for data’s sake.

Metrics 211
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How EchoStar ingests terabytes of data daily across its 5G Open RAN network in near real-time using Amazon Redshift Serverless Streaming Ingestion

AWS Big Data

EchoStar , a connectivity company providing television entertainment, wireless communications, and award-winning technology to residential and business customers throughout the US, deployed the first standalone, cloud-native Open RAN 5G network on AWS public cloud.

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Extreme data center pressure? Burst to the cloud with CDP!

Cloudera

Moving to a cloud-only based model allows for flexible provisioning, but the costs accrued for that strategy rapidly negate the advantage of flexibility. . Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs. A solution.

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Top Opportunities for SAP Partners in 2023

Timo Elliott

Because of technology limitations, we have always had to start by ripping information from the business systems and moving it to a different platform—a data warehouse, data lake, data lakehouse, data cloud. It’s possible to do, but it takes huge amounts of time and effort to recreate all that from scratch.